Scene duplicate detection based on the pattern of discontinuities in feature point trajectories
Scene duplicate detection based on the pattern of discontinuities in feature point trajectories
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DOI：
10.1145/1459359.1459367
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发表时间：
2008-10
期刊：
影响因子：
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通讯作者：
Xiaomeng Wu;Masao Takimoto;S. Satoh;J. Adachi
中科院分区：
文献类型：
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作者：
Xiaomeng Wu;Masao Takimoto;S. Satoh;J. Adachi
本文旨在从广播视频档案中检测和检索相同场景（场景副本）的视频。场景复制是由同一场景、同一事件、同一时间、不同视点的不同片段组成的。场景重复检测对于识别来自不同广播站的不同节目中报告的相同事件将是特别有用的。该方法应该对视点变化保持不变。我们专注于视频中的对象运动，并设计了一个视频匹配方法的基础上获得的特征点轨迹的不连续性的时间模式。我们开发了一种基于不连续模式的加速方法，该方法对摄影和编辑的变化比传统特征更鲁棒，从而大大减少了计算负担。我们比较了我们的方法与现有的视频匹配方法的基础上的关键帧的局部特征。该方法的空间配准策略也被用来与所提出的方法，以科普视觉上不同的无关视频对。我们的方法的性能和有效性在实际播放的视频中得到了证明。
The paper is aiming to detect and retrieve videos of the same scene (scene duplicates) from broadcast video archives. Scene duplicate is composed of different pieces of footage of the same scene, the same event, at the same time, but from the different viewpoints. Scene duplicate detection would be particularly useful to identify the same event reported in different programs from different broadcast stations. The approach should be invariant to viewpoint changes. We focused on object motion in videos and devised a video matching approach based on the temporal pattern of discontinuities obtained from feature point trajectories. We developed an acceleration method based on the discontinuity pattern, which is more robust to variations in camerawork and editing than conventional features, to dramatically reduce the computation burden. We compared our approach with an existing video matching method based on the local feature of keyframe. The spatial registration strategy of this method was also used with the proposed approach to cope with visually different unrelated video pairs. The performance and effectiveness of our approach was demonstrated on actual broadcasted videos.